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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 10 Aug 2010 11:03:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/10/t1281438194b3gu7goagaldmfg.htm/, Retrieved Sat, 04 May 2024 21:43:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78557, Retrieved Sat, 04 May 2024 21:43:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Tijdreeks 1 - Sta...] [2010-08-10 11:03:17] [f91e4cd4d3d1892f3fcf702e4827e40c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
356
355
354
352
372
371
356
346
347
347
348
350
353
350
343
346
373
363
349
350
353
356
355
346
349
348
342
342
379
375
363
361
363
373
367
360
358
367
357
346
386
383
367
354
363
370
361
354
363
366
353
351
389
385
364
348
347
352
342
338
343
354
329
320
353
345
324
310
314
313
310
301
294
296
274
269
292
287
271
256
260
265
263
256
246
245
220
224
240
238
222
203
209
214
216
214
206
196
169
177
193
183
164
142
141
137
140
146
136
124
105
114
135
123
100
74
64
57
62
64

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78557&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78557&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78557&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0160.192490049784.56400987390963
0.0265.61864318891438.71905699245003
0.0373.531991711218315.6202051646745
0.0484.058801827973620.3213606222104
0.0595.66093727028121.062762957051
0.06106.54864549633619.1826098733192
0.07115.80296069835916.5885806751151
0.08123.37068967671614.3770457758499
0.09129.64193991443013.0322674006450
0.1135.14442847079912.8573229947413
0.11140.40386502142113.9536761946401
0.12145.86231018205216.0436036866791
0.13151.80657590100518.5502695071263
0.14158.32496857627520.8425078977507
0.15165.31705164840522.4361538281358
0.16172.55383795133923.0967880915904
0.17179.76184319156722.8495507434537
0.18186.69980845307721.9137340326303
0.19193.20795403505320.6060397470521
0.2199.22491927676419.2547870893756
0.21204.77835658068518.1334801013147
0.22209.95925927457017.419245679687
0.23214.88974004511217.1692700451041
0.24219.69206156125017.3246545589484
0.25224.46469317328317.7460920670701
0.26229.26903300516218.2650959293684
0.27234.12786551424518.7395974639726
0.28239.03379580225319.0856369893608
0.29243.96354855020219.2871316156274
0.3248.89295169142719.3880600269738
0.31253.80800652138819.4626277672155
0.32258.70938640672719.5845581657456
0.33263.61022154333319.7960512284124
0.34268.52920548522520.0969780585143
0.35273.48221864951920.4465594589253
0.36278.47556213592220.7806844458745
0.37283.50275092526321.0347315899250
0.38288.54517714296521.1623660566484
0.39293.57547661755721.1385396408116
0.4298.56163959864120.9608705311844
0.41303.47001616501920.6356842348687
0.42308.26623180987520.1639511395584
0.43312.91422007993519.5348433284963
0.44317.37457158811618.7266262919792
0.45321.60378498250717.7141636125677
0.46325.55565427747416.4837738347145
0.47329.1851217237715.0454615331214
0.48332.4538706140313.4385143986230
0.49335.33617086986211.7319004302121
0.5337.82331322396310.0100223028526
0.51339.9254035668618.36068011057067
0.52341.6701161890766.85949712671535
0.53343.0988746340455.56132158339018
0.54344.2615290594044.49419134494609
0.55345.2107748129923.66070588371628
0.56345.9973425321383.04548014927614
0.57346.6665512422962.61880788181085
0.58347.2563514378752.34545997455187
0.59347.7966423198032.1865768970661
0.6348.3094852806502.10795072005030
0.61348.8098357054822.07881991778498
0.62349.3065161878162.07372724385975
0.63349.8032878915252.07340717149017
0.64350.2999883624902.06332195884030
0.65350.7937609182292.03434211826228
0.66351.2803938613561.98372227187851
0.67351.7557313138141.91360764068892
0.68352.2170441200561.83216317221467
0.69352.6641983680771.75338932997888
0.7353.1004585167011.69149966754904
0.71353.5328119140591.66262788310522
0.72353.9717707601001.6803064771812
0.73354.4306521746221.75369924913044
0.74354.9243332957811.88431788467922
0.75355.4674539150122.06723516108183
0.76356.0720749956432.28679323080365
0.77356.7449869122922.51775431238452
0.78357.4852120826212.72687408619027
0.79358.2826311289762.8783518790629
0.8359.1188024714572.94330641406049
0.81359.9706441491292.91043302546577
0.82360.8166109057922.79514566150711
0.83361.6436510136342.63671026063072
0.84362.4523040802872.49216557149331
0.85363.2575950896572.41440454573689
0.86364.0850834019192.42942135677099
0.87364.9636631438692.52718840360977
0.88365.9179714033142.67368733386466
0.89366.9628893672982.82802925447899
0.9368.102068880532.95170814103893
0.91369.3338681054553.02050057802531
0.92370.669942417943.05850066545885
0.93372.1656342542593.18091748567836
0.94373.9391858304423.55204788807188
0.95376.1311657157424.16216162151402
0.96378.7755501520544.62101920948535
0.97381.6746525543364.35331116372447
0.98384.5158613228193.27452372896687
0.99387.1583287597632.52187387613234

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 60.19249004978 & 4.56400987390963 \tabularnewline
0.02 & 65.6186431889143 & 8.71905699245003 \tabularnewline
0.03 & 73.5319917112183 & 15.6202051646745 \tabularnewline
0.04 & 84.0588018279736 & 20.3213606222104 \tabularnewline
0.05 & 95.660937270281 & 21.062762957051 \tabularnewline
0.06 & 106.548645496336 & 19.1826098733192 \tabularnewline
0.07 & 115.802960698359 & 16.5885806751151 \tabularnewline
0.08 & 123.370689676716 & 14.3770457758499 \tabularnewline
0.09 & 129.641939914430 & 13.0322674006450 \tabularnewline
0.1 & 135.144428470799 & 12.8573229947413 \tabularnewline
0.11 & 140.403865021421 & 13.9536761946401 \tabularnewline
0.12 & 145.862310182052 & 16.0436036866791 \tabularnewline
0.13 & 151.806575901005 & 18.5502695071263 \tabularnewline
0.14 & 158.324968576275 & 20.8425078977507 \tabularnewline
0.15 & 165.317051648405 & 22.4361538281358 \tabularnewline
0.16 & 172.553837951339 & 23.0967880915904 \tabularnewline
0.17 & 179.761843191567 & 22.8495507434537 \tabularnewline
0.18 & 186.699808453077 & 21.9137340326303 \tabularnewline
0.19 & 193.207954035053 & 20.6060397470521 \tabularnewline
0.2 & 199.224919276764 & 19.2547870893756 \tabularnewline
0.21 & 204.778356580685 & 18.1334801013147 \tabularnewline
0.22 & 209.959259274570 & 17.419245679687 \tabularnewline
0.23 & 214.889740045112 & 17.1692700451041 \tabularnewline
0.24 & 219.692061561250 & 17.3246545589484 \tabularnewline
0.25 & 224.464693173283 & 17.7460920670701 \tabularnewline
0.26 & 229.269033005162 & 18.2650959293684 \tabularnewline
0.27 & 234.127865514245 & 18.7395974639726 \tabularnewline
0.28 & 239.033795802253 & 19.0856369893608 \tabularnewline
0.29 & 243.963548550202 & 19.2871316156274 \tabularnewline
0.3 & 248.892951691427 & 19.3880600269738 \tabularnewline
0.31 & 253.808006521388 & 19.4626277672155 \tabularnewline
0.32 & 258.709386406727 & 19.5845581657456 \tabularnewline
0.33 & 263.610221543333 & 19.7960512284124 \tabularnewline
0.34 & 268.529205485225 & 20.0969780585143 \tabularnewline
0.35 & 273.482218649519 & 20.4465594589253 \tabularnewline
0.36 & 278.475562135922 & 20.7806844458745 \tabularnewline
0.37 & 283.502750925263 & 21.0347315899250 \tabularnewline
0.38 & 288.545177142965 & 21.1623660566484 \tabularnewline
0.39 & 293.575476617557 & 21.1385396408116 \tabularnewline
0.4 & 298.561639598641 & 20.9608705311844 \tabularnewline
0.41 & 303.470016165019 & 20.6356842348687 \tabularnewline
0.42 & 308.266231809875 & 20.1639511395584 \tabularnewline
0.43 & 312.914220079935 & 19.5348433284963 \tabularnewline
0.44 & 317.374571588116 & 18.7266262919792 \tabularnewline
0.45 & 321.603784982507 & 17.7141636125677 \tabularnewline
0.46 & 325.555654277474 & 16.4837738347145 \tabularnewline
0.47 & 329.18512172377 & 15.0454615331214 \tabularnewline
0.48 & 332.45387061403 & 13.4385143986230 \tabularnewline
0.49 & 335.336170869862 & 11.7319004302121 \tabularnewline
0.5 & 337.823313223963 & 10.0100223028526 \tabularnewline
0.51 & 339.925403566861 & 8.36068011057067 \tabularnewline
0.52 & 341.670116189076 & 6.85949712671535 \tabularnewline
0.53 & 343.098874634045 & 5.56132158339018 \tabularnewline
0.54 & 344.261529059404 & 4.49419134494609 \tabularnewline
0.55 & 345.210774812992 & 3.66070588371628 \tabularnewline
0.56 & 345.997342532138 & 3.04548014927614 \tabularnewline
0.57 & 346.666551242296 & 2.61880788181085 \tabularnewline
0.58 & 347.256351437875 & 2.34545997455187 \tabularnewline
0.59 & 347.796642319803 & 2.1865768970661 \tabularnewline
0.6 & 348.309485280650 & 2.10795072005030 \tabularnewline
0.61 & 348.809835705482 & 2.07881991778498 \tabularnewline
0.62 & 349.306516187816 & 2.07372724385975 \tabularnewline
0.63 & 349.803287891525 & 2.07340717149017 \tabularnewline
0.64 & 350.299988362490 & 2.06332195884030 \tabularnewline
0.65 & 350.793760918229 & 2.03434211826228 \tabularnewline
0.66 & 351.280393861356 & 1.98372227187851 \tabularnewline
0.67 & 351.755731313814 & 1.91360764068892 \tabularnewline
0.68 & 352.217044120056 & 1.83216317221467 \tabularnewline
0.69 & 352.664198368077 & 1.75338932997888 \tabularnewline
0.7 & 353.100458516701 & 1.69149966754904 \tabularnewline
0.71 & 353.532811914059 & 1.66262788310522 \tabularnewline
0.72 & 353.971770760100 & 1.6803064771812 \tabularnewline
0.73 & 354.430652174622 & 1.75369924913044 \tabularnewline
0.74 & 354.924333295781 & 1.88431788467922 \tabularnewline
0.75 & 355.467453915012 & 2.06723516108183 \tabularnewline
0.76 & 356.072074995643 & 2.28679323080365 \tabularnewline
0.77 & 356.744986912292 & 2.51775431238452 \tabularnewline
0.78 & 357.485212082621 & 2.72687408619027 \tabularnewline
0.79 & 358.282631128976 & 2.8783518790629 \tabularnewline
0.8 & 359.118802471457 & 2.94330641406049 \tabularnewline
0.81 & 359.970644149129 & 2.91043302546577 \tabularnewline
0.82 & 360.816610905792 & 2.79514566150711 \tabularnewline
0.83 & 361.643651013634 & 2.63671026063072 \tabularnewline
0.84 & 362.452304080287 & 2.49216557149331 \tabularnewline
0.85 & 363.257595089657 & 2.41440454573689 \tabularnewline
0.86 & 364.085083401919 & 2.42942135677099 \tabularnewline
0.87 & 364.963663143869 & 2.52718840360977 \tabularnewline
0.88 & 365.917971403314 & 2.67368733386466 \tabularnewline
0.89 & 366.962889367298 & 2.82802925447899 \tabularnewline
0.9 & 368.10206888053 & 2.95170814103893 \tabularnewline
0.91 & 369.333868105455 & 3.02050057802531 \tabularnewline
0.92 & 370.66994241794 & 3.05850066545885 \tabularnewline
0.93 & 372.165634254259 & 3.18091748567836 \tabularnewline
0.94 & 373.939185830442 & 3.55204788807188 \tabularnewline
0.95 & 376.131165715742 & 4.16216162151402 \tabularnewline
0.96 & 378.775550152054 & 4.62101920948535 \tabularnewline
0.97 & 381.674652554336 & 4.35331116372447 \tabularnewline
0.98 & 384.515861322819 & 3.27452372896687 \tabularnewline
0.99 & 387.158328759763 & 2.52187387613234 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78557&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]60.19249004978[/C][C]4.56400987390963[/C][/ROW]
[ROW][C]0.02[/C][C]65.6186431889143[/C][C]8.71905699245003[/C][/ROW]
[ROW][C]0.03[/C][C]73.5319917112183[/C][C]15.6202051646745[/C][/ROW]
[ROW][C]0.04[/C][C]84.0588018279736[/C][C]20.3213606222104[/C][/ROW]
[ROW][C]0.05[/C][C]95.660937270281[/C][C]21.062762957051[/C][/ROW]
[ROW][C]0.06[/C][C]106.548645496336[/C][C]19.1826098733192[/C][/ROW]
[ROW][C]0.07[/C][C]115.802960698359[/C][C]16.5885806751151[/C][/ROW]
[ROW][C]0.08[/C][C]123.370689676716[/C][C]14.3770457758499[/C][/ROW]
[ROW][C]0.09[/C][C]129.641939914430[/C][C]13.0322674006450[/C][/ROW]
[ROW][C]0.1[/C][C]135.144428470799[/C][C]12.8573229947413[/C][/ROW]
[ROW][C]0.11[/C][C]140.403865021421[/C][C]13.9536761946401[/C][/ROW]
[ROW][C]0.12[/C][C]145.862310182052[/C][C]16.0436036866791[/C][/ROW]
[ROW][C]0.13[/C][C]151.806575901005[/C][C]18.5502695071263[/C][/ROW]
[ROW][C]0.14[/C][C]158.324968576275[/C][C]20.8425078977507[/C][/ROW]
[ROW][C]0.15[/C][C]165.317051648405[/C][C]22.4361538281358[/C][/ROW]
[ROW][C]0.16[/C][C]172.553837951339[/C][C]23.0967880915904[/C][/ROW]
[ROW][C]0.17[/C][C]179.761843191567[/C][C]22.8495507434537[/C][/ROW]
[ROW][C]0.18[/C][C]186.699808453077[/C][C]21.9137340326303[/C][/ROW]
[ROW][C]0.19[/C][C]193.207954035053[/C][C]20.6060397470521[/C][/ROW]
[ROW][C]0.2[/C][C]199.224919276764[/C][C]19.2547870893756[/C][/ROW]
[ROW][C]0.21[/C][C]204.778356580685[/C][C]18.1334801013147[/C][/ROW]
[ROW][C]0.22[/C][C]209.959259274570[/C][C]17.419245679687[/C][/ROW]
[ROW][C]0.23[/C][C]214.889740045112[/C][C]17.1692700451041[/C][/ROW]
[ROW][C]0.24[/C][C]219.692061561250[/C][C]17.3246545589484[/C][/ROW]
[ROW][C]0.25[/C][C]224.464693173283[/C][C]17.7460920670701[/C][/ROW]
[ROW][C]0.26[/C][C]229.269033005162[/C][C]18.2650959293684[/C][/ROW]
[ROW][C]0.27[/C][C]234.127865514245[/C][C]18.7395974639726[/C][/ROW]
[ROW][C]0.28[/C][C]239.033795802253[/C][C]19.0856369893608[/C][/ROW]
[ROW][C]0.29[/C][C]243.963548550202[/C][C]19.2871316156274[/C][/ROW]
[ROW][C]0.3[/C][C]248.892951691427[/C][C]19.3880600269738[/C][/ROW]
[ROW][C]0.31[/C][C]253.808006521388[/C][C]19.4626277672155[/C][/ROW]
[ROW][C]0.32[/C][C]258.709386406727[/C][C]19.5845581657456[/C][/ROW]
[ROW][C]0.33[/C][C]263.610221543333[/C][C]19.7960512284124[/C][/ROW]
[ROW][C]0.34[/C][C]268.529205485225[/C][C]20.0969780585143[/C][/ROW]
[ROW][C]0.35[/C][C]273.482218649519[/C][C]20.4465594589253[/C][/ROW]
[ROW][C]0.36[/C][C]278.475562135922[/C][C]20.7806844458745[/C][/ROW]
[ROW][C]0.37[/C][C]283.502750925263[/C][C]21.0347315899250[/C][/ROW]
[ROW][C]0.38[/C][C]288.545177142965[/C][C]21.1623660566484[/C][/ROW]
[ROW][C]0.39[/C][C]293.575476617557[/C][C]21.1385396408116[/C][/ROW]
[ROW][C]0.4[/C][C]298.561639598641[/C][C]20.9608705311844[/C][/ROW]
[ROW][C]0.41[/C][C]303.470016165019[/C][C]20.6356842348687[/C][/ROW]
[ROW][C]0.42[/C][C]308.266231809875[/C][C]20.1639511395584[/C][/ROW]
[ROW][C]0.43[/C][C]312.914220079935[/C][C]19.5348433284963[/C][/ROW]
[ROW][C]0.44[/C][C]317.374571588116[/C][C]18.7266262919792[/C][/ROW]
[ROW][C]0.45[/C][C]321.603784982507[/C][C]17.7141636125677[/C][/ROW]
[ROW][C]0.46[/C][C]325.555654277474[/C][C]16.4837738347145[/C][/ROW]
[ROW][C]0.47[/C][C]329.18512172377[/C][C]15.0454615331214[/C][/ROW]
[ROW][C]0.48[/C][C]332.45387061403[/C][C]13.4385143986230[/C][/ROW]
[ROW][C]0.49[/C][C]335.336170869862[/C][C]11.7319004302121[/C][/ROW]
[ROW][C]0.5[/C][C]337.823313223963[/C][C]10.0100223028526[/C][/ROW]
[ROW][C]0.51[/C][C]339.925403566861[/C][C]8.36068011057067[/C][/ROW]
[ROW][C]0.52[/C][C]341.670116189076[/C][C]6.85949712671535[/C][/ROW]
[ROW][C]0.53[/C][C]343.098874634045[/C][C]5.56132158339018[/C][/ROW]
[ROW][C]0.54[/C][C]344.261529059404[/C][C]4.49419134494609[/C][/ROW]
[ROW][C]0.55[/C][C]345.210774812992[/C][C]3.66070588371628[/C][/ROW]
[ROW][C]0.56[/C][C]345.997342532138[/C][C]3.04548014927614[/C][/ROW]
[ROW][C]0.57[/C][C]346.666551242296[/C][C]2.61880788181085[/C][/ROW]
[ROW][C]0.58[/C][C]347.256351437875[/C][C]2.34545997455187[/C][/ROW]
[ROW][C]0.59[/C][C]347.796642319803[/C][C]2.1865768970661[/C][/ROW]
[ROW][C]0.6[/C][C]348.309485280650[/C][C]2.10795072005030[/C][/ROW]
[ROW][C]0.61[/C][C]348.809835705482[/C][C]2.07881991778498[/C][/ROW]
[ROW][C]0.62[/C][C]349.306516187816[/C][C]2.07372724385975[/C][/ROW]
[ROW][C]0.63[/C][C]349.803287891525[/C][C]2.07340717149017[/C][/ROW]
[ROW][C]0.64[/C][C]350.299988362490[/C][C]2.06332195884030[/C][/ROW]
[ROW][C]0.65[/C][C]350.793760918229[/C][C]2.03434211826228[/C][/ROW]
[ROW][C]0.66[/C][C]351.280393861356[/C][C]1.98372227187851[/C][/ROW]
[ROW][C]0.67[/C][C]351.755731313814[/C][C]1.91360764068892[/C][/ROW]
[ROW][C]0.68[/C][C]352.217044120056[/C][C]1.83216317221467[/C][/ROW]
[ROW][C]0.69[/C][C]352.664198368077[/C][C]1.75338932997888[/C][/ROW]
[ROW][C]0.7[/C][C]353.100458516701[/C][C]1.69149966754904[/C][/ROW]
[ROW][C]0.71[/C][C]353.532811914059[/C][C]1.66262788310522[/C][/ROW]
[ROW][C]0.72[/C][C]353.971770760100[/C][C]1.6803064771812[/C][/ROW]
[ROW][C]0.73[/C][C]354.430652174622[/C][C]1.75369924913044[/C][/ROW]
[ROW][C]0.74[/C][C]354.924333295781[/C][C]1.88431788467922[/C][/ROW]
[ROW][C]0.75[/C][C]355.467453915012[/C][C]2.06723516108183[/C][/ROW]
[ROW][C]0.76[/C][C]356.072074995643[/C][C]2.28679323080365[/C][/ROW]
[ROW][C]0.77[/C][C]356.744986912292[/C][C]2.51775431238452[/C][/ROW]
[ROW][C]0.78[/C][C]357.485212082621[/C][C]2.72687408619027[/C][/ROW]
[ROW][C]0.79[/C][C]358.282631128976[/C][C]2.8783518790629[/C][/ROW]
[ROW][C]0.8[/C][C]359.118802471457[/C][C]2.94330641406049[/C][/ROW]
[ROW][C]0.81[/C][C]359.970644149129[/C][C]2.91043302546577[/C][/ROW]
[ROW][C]0.82[/C][C]360.816610905792[/C][C]2.79514566150711[/C][/ROW]
[ROW][C]0.83[/C][C]361.643651013634[/C][C]2.63671026063072[/C][/ROW]
[ROW][C]0.84[/C][C]362.452304080287[/C][C]2.49216557149331[/C][/ROW]
[ROW][C]0.85[/C][C]363.257595089657[/C][C]2.41440454573689[/C][/ROW]
[ROW][C]0.86[/C][C]364.085083401919[/C][C]2.42942135677099[/C][/ROW]
[ROW][C]0.87[/C][C]364.963663143869[/C][C]2.52718840360977[/C][/ROW]
[ROW][C]0.88[/C][C]365.917971403314[/C][C]2.67368733386466[/C][/ROW]
[ROW][C]0.89[/C][C]366.962889367298[/C][C]2.82802925447899[/C][/ROW]
[ROW][C]0.9[/C][C]368.10206888053[/C][C]2.95170814103893[/C][/ROW]
[ROW][C]0.91[/C][C]369.333868105455[/C][C]3.02050057802531[/C][/ROW]
[ROW][C]0.92[/C][C]370.66994241794[/C][C]3.05850066545885[/C][/ROW]
[ROW][C]0.93[/C][C]372.165634254259[/C][C]3.18091748567836[/C][/ROW]
[ROW][C]0.94[/C][C]373.939185830442[/C][C]3.55204788807188[/C][/ROW]
[ROW][C]0.95[/C][C]376.131165715742[/C][C]4.16216162151402[/C][/ROW]
[ROW][C]0.96[/C][C]378.775550152054[/C][C]4.62101920948535[/C][/ROW]
[ROW][C]0.97[/C][C]381.674652554336[/C][C]4.35331116372447[/C][/ROW]
[ROW][C]0.98[/C][C]384.515861322819[/C][C]3.27452372896687[/C][/ROW]
[ROW][C]0.99[/C][C]387.158328759763[/C][C]2.52187387613234[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78557&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78557&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0160.192490049784.56400987390963
0.0265.61864318891438.71905699245003
0.0373.531991711218315.6202051646745
0.0484.058801827973620.3213606222104
0.0595.66093727028121.062762957051
0.06106.54864549633619.1826098733192
0.07115.80296069835916.5885806751151
0.08123.37068967671614.3770457758499
0.09129.64193991443013.0322674006450
0.1135.14442847079912.8573229947413
0.11140.40386502142113.9536761946401
0.12145.86231018205216.0436036866791
0.13151.80657590100518.5502695071263
0.14158.32496857627520.8425078977507
0.15165.31705164840522.4361538281358
0.16172.55383795133923.0967880915904
0.17179.76184319156722.8495507434537
0.18186.69980845307721.9137340326303
0.19193.20795403505320.6060397470521
0.2199.22491927676419.2547870893756
0.21204.77835658068518.1334801013147
0.22209.95925927457017.419245679687
0.23214.88974004511217.1692700451041
0.24219.69206156125017.3246545589484
0.25224.46469317328317.7460920670701
0.26229.26903300516218.2650959293684
0.27234.12786551424518.7395974639726
0.28239.03379580225319.0856369893608
0.29243.96354855020219.2871316156274
0.3248.89295169142719.3880600269738
0.31253.80800652138819.4626277672155
0.32258.70938640672719.5845581657456
0.33263.61022154333319.7960512284124
0.34268.52920548522520.0969780585143
0.35273.48221864951920.4465594589253
0.36278.47556213592220.7806844458745
0.37283.50275092526321.0347315899250
0.38288.54517714296521.1623660566484
0.39293.57547661755721.1385396408116
0.4298.56163959864120.9608705311844
0.41303.47001616501920.6356842348687
0.42308.26623180987520.1639511395584
0.43312.91422007993519.5348433284963
0.44317.37457158811618.7266262919792
0.45321.60378498250717.7141636125677
0.46325.55565427747416.4837738347145
0.47329.1851217237715.0454615331214
0.48332.4538706140313.4385143986230
0.49335.33617086986211.7319004302121
0.5337.82331322396310.0100223028526
0.51339.9254035668618.36068011057067
0.52341.6701161890766.85949712671535
0.53343.0988746340455.56132158339018
0.54344.2615290594044.49419134494609
0.55345.2107748129923.66070588371628
0.56345.9973425321383.04548014927614
0.57346.6665512422962.61880788181085
0.58347.2563514378752.34545997455187
0.59347.7966423198032.1865768970661
0.6348.3094852806502.10795072005030
0.61348.8098357054822.07881991778498
0.62349.3065161878162.07372724385975
0.63349.8032878915252.07340717149017
0.64350.2999883624902.06332195884030
0.65350.7937609182292.03434211826228
0.66351.2803938613561.98372227187851
0.67351.7557313138141.91360764068892
0.68352.2170441200561.83216317221467
0.69352.6641983680771.75338932997888
0.7353.1004585167011.69149966754904
0.71353.5328119140591.66262788310522
0.72353.9717707601001.6803064771812
0.73354.4306521746221.75369924913044
0.74354.9243332957811.88431788467922
0.75355.4674539150122.06723516108183
0.76356.0720749956432.28679323080365
0.77356.7449869122922.51775431238452
0.78357.4852120826212.72687408619027
0.79358.2826311289762.8783518790629
0.8359.1188024714572.94330641406049
0.81359.9706441491292.91043302546577
0.82360.8166109057922.79514566150711
0.83361.6436510136342.63671026063072
0.84362.4523040802872.49216557149331
0.85363.2575950896572.41440454573689
0.86364.0850834019192.42942135677099
0.87364.9636631438692.52718840360977
0.88365.9179714033142.67368733386466
0.89366.9628893672982.82802925447899
0.9368.102068880532.95170814103893
0.91369.3338681054553.02050057802531
0.92370.669942417943.05850066545885
0.93372.1656342542593.18091748567836
0.94373.9391858304423.55204788807188
0.95376.1311657157424.16216162151402
0.96378.7755501520544.62101920948535
0.97381.6746525543364.35331116372447
0.98384.5158613228193.27452372896687
0.99387.1583287597632.52187387613234


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')